DeepSData
Dataset guide · Machine learning & corpora

FCG-MFD: Benchmark function call graph-based dataset for malware family detection

FCG-MFD is a benchmark dataset containing Function Call Graphs (FCG) and metadata for malware family detection, with 100,000 samples from multiple malware sources.

AccessFree to access
LicenceLicense statement is still being checked

← Back to dataset library · 中文版

Machine learning & corporaFree to access

Key facts

InstitutionSee official page
CoverageMalware family detection
Time span2025-04-02 (updated)
Scale100,000 samples, 1 file

Contents & fields

The dataset contains two sub-datasets: FCG (Function Call Graphs) and metadata, totaling 100,000 samples. No field-level description is publicly available on the source page.

Research uses

Suitable for machine learning-based malware family detection, function call graph analysis, graph embedding network research, etc.

Information comes from the source page. Please check that page for current details and terms.

Keywords

malware family detectionfunction call graphbenchmark datasetmachine learninggraph embeddingcybersecurity

Access and licence

Licence: License statement is still being checked · Source page
Rights details not yet verified
| Free to access

Why this is hard to get on your own

Difficulty in obtaining large-scale, labeled malware function call graph datasets, and existing datasets are not updated timely.

Related datasets

Same domain

Machine learning & corporaFree to access

music_genre

A music genre classification dataset containing 1700 audio clips (mp3 format, each about 270-300 seconds)…

Need this data retrieved and prepared?

State the conditions that must be met. We first assess availability, then search in earnest; if it cannot be obtained, we say so.